Geologic computer vision report processing framework

Abstract

A method can include performing optical character recognition on a document to define spatial locations of bounding boxes for characters, where each bounding box includes at least one character; identifying a spatial location of keyword characters via a corresponding one of the bounding boxes; applying an edge detection technique to generate a skeletonized version of the document; determining borders within the skeletonized version of the document to define regions; and extracting the characters within one of the regions that includes the keyword characters.

What is claimed is: 
     
         1 . A method comprising:
 performing optical character recognition on a document to define spatial locations of bounding boxes for characters, wherein each bounding box includes at least one character;   identifying a spatial location of keyword characters via a corresponding one of the bounding boxes;   applying an edge detection technique to generate a skeletonized version of the document;   determining borders within the skeletonized version of the document to define regions; and   extracting the characters within one of the regions that includes the keyword characters.   
     
     
         2 . The method of  claim 1 , comprising setting areas within the bounding boxes to a pixel value to reduce risk of character edge bleed over to one or more region edges. 
     
     
         3 . The method of  claim 1 , wherein the characters within the one of the regions comprise characters of a table. 
     
     
         4 . The method of  claim 1 , wherein the keyword characters comprise characters of a table heading. 
     
     
         5 . The method of  claim 1 , wherein the regions comprise at least two table regions. 
     
     
         6 . The method of  claim 1 , comprising generating a data structure for the spatial locations of the bounding boxes for the characters. 
     
     
         7 . The method of  claim 6 , wherein the data structure comprises confidence indicators as to confidence of the optical character recognition for one or more strings of characters. 
     
     
         8 . The method of  claim 1 , wherein determining borders comprises implementing an edge enhancement technique. 
     
     
         9 . The method of  claim 8 , comprising implementing a connected component function to identify a connected region as the one of the regions. 
     
     
         10 . The method of  claim 9 , comprising identifying the bounding boxes within the connected region as the one of the regions. 
     
     
         11 . The method of  claim 10 , wherein the extracting the characters within the one of the regions that includes the keyword characters comprises accessing characters within the identified bounding boxes. 
     
     
         12 . The method of  claim 1 , comprising storing the extracted characters within the one of the regions to a data storage device. 
     
     
         13 . The method of  claim 1 , wherein the document is a single page document. 
     
     
         14 . The method of  claim 1 , wherein the document comprises multiple pages. 
     
     
         15 . The method of  claim 1 , wherein the document comprises geologic information. 
     
     
         16 . The method of  claim 15 , wherein the geologic information comprises at least one log. 
     
     
         17 . The method of  claim 16 , wherein the at least one log is oriented vertically. 
     
     
         18 . The method of  claim 1 , wherein the one of the regions comprises a polygonal border that comprises more than four sides. 
     
     
         19 . A system comprising:
 one or more processors;   memory accessible to at least one of the one or more processors;   processor-executable instructions stored in the memory and executable to instruct the system to:
 perform optical character recognition on a document to define spatial locations of bounding boxes for characters, wherein each bounding box includes at least one character; 
 identify a spatial location of keyword characters via a corresponding one of the bounding boxes; 
 apply an edge detection technique to generate a skeletonized version of the document; 
 determine borders within the skeletonized version of the document to define regions; and 
 extract the characters within one of the regions that includes the keyword characters. 
   
     
     
         20 . One or more computer-readable storage media comprising processor-executable instructions to instruct a computing system to:
 perform optical character recognition on a document to define spatial locations of bounding boxes for characters, wherein each bounding box includes at least one character;   identify a spatial location of keyword characters via a corresponding one of the bounding boxes;   apply an edge detection technique to generate a skeletonized version of the document;   determine borders within the skeletonized version of the document to define regions; and   extract the characters within one of the regions that includes the keyword characters.